An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
SHYRS: A proof of concept for specifying how humans solve ARC-AGI-2 puzzles
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
Achieve near-perfect ARC-AGI-2 benchmark results with reproducible code focused on solving complex AI reasoning tasks efficiently.
Modification of Gecode v5 kernel to support counting base search heuristics
High-performance Pathfinding Engine & PWA. Features a "Shift-Left" DevOps architecture with automated ESLint v10 verification, Trivy security auditing, and Node 22 LTS containerization. Benchmarks search heuristics (A, IDA, Dijkstra) with real-time complexity analysis and 60FPS DOM-optimized rendering.
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